Efficient prediction of progesterone receptor interactome using a support vector machine model.

ABSTRACT: Protein-protein interaction (PPI) is essential for almost all cellular processes and identification of PPI is a crucial task for biomedical researchers. So far, most computational studies of PPI are intended for pair-wise prediction. Theoretically, predicting protein partners for a single protein is likely a simpler problem. Given enough data for a particular protein, the results can be more accurate than general PPI predictors. In the present study, we assessed the potential of using the support vector machine (SVM) model with selected features centered on a particular protein for PPI prediction. As a proof-of-concept study, we applied this method to identify the interactome of progesterone receptor (PR), a protein which is essential for coordinating female reproduction in mammals by medi

SUBMITTER: Liu JL 

PROVIDER: S-EPMC4394448 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature